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Citing this Article

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Published on 22.06.17 in Vol 3, No 2 (2017): Apr-Jun

This paper is in the following e-collection/theme issue:

Works citing "Filtering Entities to Optimize Identification of Adverse Drug Reaction From Social Media: How Can the Number of Words Between Entities in the Messages Help?"

Redhouane Abdellaoui, Stéphane Schück, Nathalie Texier, Anita Burgun

JMIR Public Health Surveill 2017 (Jun 22); 3(2):e36 

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.6577):

(note that this is only a small subset of citations)

  1. Kürzinger M, Schück S, Texier N, Abdellaoui R, Faviez C, Pouget J, Zhang L, Tcherny-Lessenot S, Lin S, Juhaeri J. Web-Based Signal Detection Using Medical Forums Data in France: Comparative Analysis. Journal of Medical Internet Research 2018;20(11):e10466
    CrossRef
  2. Pappa D, Stergioulas LK. Harnessing social media data for pharmacovigilance: a review of current state of the art, challenges and future directions. International Journal of Data Science and Analytics 2019;8(2):113
    CrossRef
  3. Li F, Liu W, Yu H. Extraction of Information Related to Adverse Drug Events from Electronic Health Record Notes: Design of an End-to-End Model Based on Deep Learning. JMIR Medical Informatics 2018;6(4):e12159
    CrossRef
  4. . Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  5. Schäfer F, Faviez C, Voillot P, Foulquié P, Najm M, Jeanne J, Fagherazzi G, Schück S, Le Nevé B. Mapping and Modeling of Discussions Related to Gastrointestinal Discomfort in French-Speaking Online Forums: Results of a 15-Year Retrospective Infodemiology Study. Journal of Medical Internet Research 2020;22(11):e17247
    CrossRef
  6. Abdellaoui R, Foulquié P, Texier N, Faviez C, Burgun A, Schück S. Detection of Cases of Noncompliance to Drug Treatment in Patient Forum Posts: Topic Model Approach. Journal of Medical Internet Research 2018;20(3):e85
    CrossRef
  7. Munkhdalai T, Liu F, Yu H. Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning. JMIR Public Health and Surveillance 2018;4(2):e29
    CrossRef
  8. Bousquet C, Dahamna B, Guillemin-Lanne S, Darmoni SJ, Faviez C, Huot C, Katsahian S, Leroux V, Pereira S, Richard C, Schück S, Souvignet J, Lillo-Le Louët A, Texier N. The Adverse Drug Reactions from Patient Reports in Social Media Project: Five Major Challenges to Overcome to Operationalize Analysis and Efficiently Support Pharmacovigilance Process. JMIR Research Protocols 2017;6(9):e179
    CrossRef
  9. Li X, Lin X, Ren H, Guo J. Ontological Organization and Bioinformatic Analysis of Adverse Drug Reactions From Package Inserts: Development and Usability Study. Journal of Medical Internet Research 2020;22(7):e20443
    CrossRef
  10. Schück S, Roustamal A, Gedik A, Voillot P, Foulquié P, Penfornis C, Job B. Assessing Patient Perceptions and Experiences of Paracetamol in France: Infodemiology Study Using Social Media Data Mining. Journal of Medical Internet Research 2021;23(7):e25049
    CrossRef
  11. Arquembourg J, Glaser P, Roblot F, Metzler I, Gallant-Dewavrin M, Mebarki A, Voillot P, Schück S, Lalaude O. Social Media Platforms Listening Study on Antibiotic Resistance: Quantitative and Qualitative Findings. (Preprint). JMIR Formative Research 2022;
    CrossRef
  12. Renner S, Marty T, Khadhar M, Foulquié P, Voillot P, Mebarki A, Montagni I, Texier N, Schück S. A New Method to Extract Health-Related Quality of Life Data From Social Media Testimonies: Algorithm Development and Validation. Journal of Medical Internet Research 2022;24(1):e31528
    CrossRef
  13. Déguilhem A, Malaab J, Talmatkadi M, Renner S, Foulquié P, Fagherazzi G, Loussikian P, Marty T, Mebarki A, Texier N, Schuck S. Identifying Profiles and Symptoms of Patients With Long COVID in France: Data Mining Infodemiology Study Based on Social Media. JMIR Infodemiology 2022;2(2):e39849
    CrossRef
  14. Voillot P, Riche B, Portafax M, Foulquié P, Gedik A, Barbarot S, Misery L, Héas S, Mebarki A, Texier N, Schück S. Social Media Platforms Listening Study on Atopic Dermatitis: Quantitative and Qualitative Findings. Journal of Medical Internet Research 2022;24(1):e31140
    CrossRef
  15. Kaas‐Hansen BS, Placido D, Rodríguez CL, Thorsen‐Meyer H, Gentile S, Nielsen AP, Brunak S, Jürgens G, Andersen SE. Language‐agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records. Basic & Clinical Pharmacology & Toxicology 2022;131(4):282
    CrossRef
  16. Goadsby P, Ruiz de la Torre E, Constantin L, Amand C. Social Media Listening and Digital Profiling Study of People With Headache and Migraine: Retrospective Infodemiology Study. Journal of Medical Internet Research 2023;25:e40461
    CrossRef
  17. Roche V, Robert J, Salam H. AI-Based Approach for Safety Signals Detection from Social Networks: Application to the Levothyrox Scandal in 2017 on Doctissimo Forum. SSRN Electronic Journal 2021;
    CrossRef
  18. Faviez C, Talmatkadi M, Foulquié P, Mebarki A, Schück S, Burgun A, Chen X. Assessment of the Early Detection of Anosmia and Ageusia Symptoms in COVID-19 on Twitter: Retrospective Study. JMIR Infodemiology 2023;3:e41863
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/publichealth.6577):

  1. Dasgupta N, Winokur C, Pierce C. Communicating about Risks and Safe Use of Medicines. 2020. Chapter 11:307
    CrossRef